max root mean sq ∂X [ ICPAC Forecasts CPT Rainfall Seasonal History PearsonR ] : ∂X Pearson correlation skill values data
PearsonR partial_X partial_X
∂X Pearson correlation skill values from ICPAC Forecasts CPT Rainfall Seasonal History: Predictand, Hindcast and Skill.
is
Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- correlationcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 57.2957795130823 radian-1 east
- history
- max root mean sq $partialdiff sub X$ [ ICPAC Forecasts CPT Rainfall Seasonal History PearsonR ]
- Averaged over S[0000 1 Jan, 0000 1 Dec] minimum 0.0% data present
max over X[22.125E, 51.125E] Y[11.5S, 23N]
Last updated: Thu, 25 Feb 2021 08:46:12 GMT
Filters
Here are some filters that are useful for manipulating data. There
are actually many more available, but they have to be entered
manually. See
Ingrid
Function Documentation for more information.
- Monthly Climatology calculates
a monthly climatology by averaging over all years.
- anomalies calculates the difference
between the (above) monthly climatology and the original data.
- Integrate along
- Differentiate along
- Take differences along
Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units